Best practices for avoiding dominant experimental bias in analysis of multielectrode array signals
© Stone et al; licensee BioMed Central Ltd. 2014
Published: 21 July 2014
Multielectrode arrays (MEA) are broadly used for in vitro cell culture observation. Complete realization of this platform’s potential to the study of disease and development depends on the capability to make 1) reliable and repeatable observations, 2) neuronal network behavior characterizations, and 3) meaningful comparisons between cultures. Using an extensive, previously published, set of recordings  we demonstrate that naïve processing of this data leaves us vulnerable to bias from measurement error.
Bias from defective electrodes can be avoided wholly by proper documentation of experimental conditions. This highlights the need for best practices when recording MEA signals. Our analysis highlights possibilities for post-experimental review to identify unknown issues and retroactively handle them. Thereupon, we make a case for transparency in data reporting and propose best practices for experimental and analysis phases.
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